A New Epileptic EEG Spike Detection based on Mathematical Morphology

Keywords

epilepsy, spike detection, morphology,evaluation criterions.

Abstract

-The best usual way in order to diagnosis,
control and therapy different kind of Epilepsy is to
refer to patient's EEG signals. Usually, in normal
conditions of a patient, Epilepsy shows itself through
EEG signals in the shape of transient waves.
Identification of this waves using human eyes is so
difficult that automatic detection methods based on
mathematics and signal processing, should have been
applied as an auxiliary tool to help physician identify
this waves. The most significant transient epileptic
waves in EEG are spikes. Up to now, various methods
are presented for detection of spikes, but a
quantitative and comparative evaluation hasn't been
performed. In this work, we suggested a new method
based on mathematical morphology for detecting spike
waves that using simulated EEG signals and defined
evaluation criterions, we evaluate this method using an
accurate comparison with two classic methods.